The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-06"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "6891213 (up from 6764918 yesterday: 1.87 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "399718 (up from 395880 yesterday: 0.97 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.8



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1920061 22681 1.20 109802 670 0.61 5.72
Brazil 672846 27075 4.19 35930 904 2.58 5.34
Russia 458102 8846 1.97 5717 197 3.57 1.25
United Kingdom 286294 1560 0.55 40548 204 0.51 14.16
India 246622 10438 4.42 6946 297 4.47 2.82
Spain 241310 332 0.14 27135 1 0.00 11.24
Italy 234801 270 0.12 33846 72 0.21 14.41
Peru 191758 4358 2.33 5301 139 2.69 2.76
France 190759 579 0.30 29145 31 0.11 15.28
Germany 185450 526 0.28 8673 15 0.17 4.68
Iran 169425 2269 1.36 8209 75 0.92 4.85
Turkey 169218 878 0.52 4669 21 0.45 2.76
Chile 127745 5246 4.28 1541 93 6.42 1.21
Mexico 113619 3593 3.27 13511 341 2.59 11.89
Saudi Arabia 98869 3121 3.26 676 34 5.30 0.68
Canada 96475 528 0.55 7850 72 0.93 8.14
Pakistan 93983 4734 5.30 1935 97 5.28 2.06
China 84186 9 0.01 4638 0 0.00 5.51
Qatar 67195 1700 2.60 51 2 4.08 0.08
Bangladesh 63026 2635 4.36 846 35 4.32 1.34
Belgium 59072 165 0.28 9580 14 0.15 16.22
Belarus 47751 883 1.88 263 4 1.54 0.55
Netherlands 47541 183 0.39 6030 6 0.10 12.68
South Africa 45973 2539 5.85 952 44 4.85 2.07
Sweden 43887 948 2.21 4656 17 0.37 10.61
Ecuador 42728 1153 2.77 3608 74 2.09 8.44
United Arab Emirates 38268 626 1.66 275 1 0.36 0.72
Singapore 37527 344 0.93 25 1 4.17 0.07
Colombia 36759 0 0.00 1204 0 0.00 3.28
Portugal 34351 382 1.12 1474 9 0.61 4.29
Egypt 32612 1497 4.81 1198 32 2.74 3.67
Kuwait 31131 487 1.59 254 10 4.10 0.82
Switzerland 30956 20 0.06 1921 0 0.00 6.21
Indonesia 30514 993 3.36 1801 31 1.75 5.90
Ukraine 27101 559 2.11 785 15 1.95 2.90
Poland 25986 576 2.27 1153 16 1.41 4.44
Ireland 25183 20 0.08 1678 8 0.48 6.66
Argentina 22020 983 4.67 648 16 2.53 2.94
Philippines 21340 714 3.46 994 7 0.71 4.66
Romania 20290 187 0.93 1322 6 0.46 6.52
Afghanistan 19551 582 3.07 327 18 5.83 1.67
Dominican Republic 19195 487 2.60 536 11 2.10 2.79
Israel 17752 190 1.08 295 4 1.37 1.66
Japan 17000 42 0.25 915 -1 -0.11 5.38
Austria 16898 55 0.33 672 0 0.00 3.98
Oman 16016 930 6.16 72 0 0.00 0.45
Panama 16004 541 3.50 386 16 4.32 2.41
Bahrain 14383 548 3.96 24 2 9.09 0.17
Bolivia 13358 630 4.95 454 27 6.32 3.40
Kazakhstan 12511 199 1.62 53 1 1.92 0.42
Armenia 12364 547 4.63 190 7 3.83 1.54
Nigeria 12233 389 3.28 342 9 2.70 2.80
Denmark 12124 49 0.41 587 1 0.17 4.84
Korea, South 11776 57 0.49 273 0 0.00 2.32
Serbia 11741 74 0.63 248 1 0.40 2.11
Iraq 11098 1252 12.72 318 33 11.58 2.87
Algeria 10050 115 1.16 698 8 1.16 6.95
Czechia 9567 38 0.40 327 0 0.00 3.42
Moldova 9511 264 2.85 331 8 2.48 3.48
Ghana 9462 294 3.21 44 2 4.76 0.47
Norway 8531 9 0.11 238 0 0.00 2.79
Malaysia 8303 37 0.45 117 1 0.86 1.41
Morocco 8151 80 0.99 208 0 0.00 2.55
Cameroon 7599 207 2.80 212 7 3.41 2.79
Australia 7259 7 0.10 102 0 0.00 1.41
Azerbaijan 7239 379 5.52 84 2 2.44 1.16
Finland 6964 23 0.33 322 0 0.00 4.62
Guatemala 6792 307 4.73 230 14 6.48 3.39
Honduras 6155 184 3.08 250 2 0.81 4.06
Sudan 6081 216 3.68 359 12 3.46 5.90

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 377316 1108 0.29 30280 44 0.15 8.03 19395.73 1556.53 1 in 52
New Jersey 163893 557 0.34 12106 57 0.47 7.39 18451.87 1362.95 1 in 54
California 128593 2855 2.27 4606 77 1.70 3.58 3254.51 116.57 1 in 307
Illinois 126890 975 0.77 5864 69 1.19 4.62 10013.56 462.76 1 in 100
Massachusetts 103132 575 0.56 7289 54 0.75 7.07 14840.20 1048.85 1 in 67
Pennsylvania 79505 690 0.88 5931 33 0.56 7.46 6210.36 463.29 1 in 161
Texas 74470 1922 2.65 1833 21 1.16 2.46 2568.30 63.22 1 in 389
Florida 62758 1270 2.07 2688 28 1.05 4.28 2922.00 125.15 1 in 342
Michigan 58525 0 0.00 5613 0 0.00 9.59 5860.20 562.04 1 in 171
Maryland 57482 712 1.25 2740 38 1.41 4.77 9507.95 453.22 1 in 105
Georgia 51359 738 1.46 2178 4 0.18 4.24 4837.24 205.13 1 in 207
Virginia 49397 865 1.78 1461 7 0.48 2.96 5787.23 171.17 1 in 173
Connecticut 43818 358 0.82 4055 17 0.42 9.25 12290.17 1137.36 1 in 81
Louisiana 42486 497 1.18 2925 13 0.45 6.88 9139.14 629.20 1 in 109
Ohio 38111 353 0.93 2372 15 0.64 6.22 3260.39 202.92 1 in 307
Indiana 36997 419 1.15 2292 34 1.51 6.20 5495.51 340.45 1 in 182
North Carolina 34718 1423 4.27 1028 13 1.28 2.96 3310.23 98.02 1 in 302
Colorado 27834 233 0.84 1527 3 0.20 5.49 4833.35 265.16 1 in 207
Minnesota 27501 521 1.93 1181 22 1.90 4.29 4876.38 209.41 1 in 205
Tennessee 26177 513 2.00 417 9 2.21 1.59 3830.87 61.03 1 in 261
Arizona 25451 1012 4.14 1043 28 2.76 4.10 3342.27 136.97 1 in 299
Washington 23442 449 1.95 1153 4 0.35 4.92 3078.44 151.41 1 in 325
Iowa 21478 324 1.53 599 6 1.01 2.79 6807.46 189.85 1 in 147
Wisconsin 20571 322 1.59 645 12 1.90 3.14 3533.06 110.78 1 in 283
Alabama 20043 656 3.38 689 13 1.92 3.44 4087.75 140.52 1 in 245
Mississippi 17039 270 1.61 811 8 1.00 4.76 5725.18 272.50 1 in 175
Nebraska 15572 166 1.08 187 0 0.00 1.20 8050.01 96.67 1 in 124
Rhode Island 15441 0 0.00 772 0 0.00 5.00 14575.77 728.74 1 in 69
Missouri 14951 379 2.60 815 10 1.24 5.45 2436.04 132.79 1 in 411
South Carolina 13453 0 0.00 539 0 0.00 4.01 2612.89 104.69 1 in 383
Utah 11798 546 4.85 121 1 0.83 1.03 3680.02 37.74 1 in 272
Kentucky 11287 310 2.82 470 4 0.86 4.16 2526.37 105.20 1 in 396
Kansas 10361 55 0.53 233 1 0.43 2.25 3556.43 79.98 1 in 281
Delaware 9845 72 0.74 390 2 0.52 3.96 10110.25 400.51 1 in 99
Nevada 9491 182 1.96 437 1 0.23 4.60 3081.34 141.88 1 in 325
District of Columbia 9269 70 0.76 483 4 0.84 5.21 13133.56 684.38 1 in 76
Arkansas 9101 450 5.20 154 2 1.32 1.69 3015.75 51.03 1 in 332
New Mexico 8800 128 1.48 392 5 1.29 4.45 4196.81 186.95 1 in 238
Oklahoma 7059 52 0.74 347 2 0.58 4.92 1783.94 87.69 1 in 561
South Dakota 5367 90 1.71 65 1 1.56 1.21 6066.74 73.47 1 in 165
New Hampshire 5019 66 1.33 283 5 1.80 5.64 3691.23 208.13 1 in 271
Puerto Rico 4915 295 6.39 142 1 0.71 2.89 1538.97 44.46 1 in 650
Oregon 4570 0 0.00 161 0 0.00 3.52 1083.52 38.17 1 in 923
Idaho 3139 28 0.90 83 0 0.00 2.64 1751.61 46.32 1 in 571
North Dakota 2816 71 2.59 72 1 1.41 2.56 3695.24 94.48 1 in 271
Maine 2524 42 1.69 98 0 0.00 3.88 1877.68 72.91 1 in 533
West Virginia 2136 17 0.80 84 0 0.00 3.93 1195.20 47.00 1 in 837
Vermont 1046 19 1.85 55 0 0.00 5.26 1676.31 88.14 1 in 597
Wyoming 939 6 0.64 17 0 0.00 1.81 1622.44 29.37 1 in 616
Hawaii 673 9 1.36 17 0 0.00 2.53 475.33 12.01 1 in 2104
Montana 540 -1 -0.18 18 0 0.00 3.33 505.25 16.84 1 in 1979
Alaska 535 12 2.29 10 0 0.00 1.87 731.33 13.67 1 in 1367

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 2437407 377316 15.48 125293.62
New Jersey 919448 163893 17.83 103515.91
California 2308300 128593 5.57 58419.90
Illinois 1022074 126890 12.41 80657.23
Massachusetts 644639 103132 16.00 92760.45
Pennsylvania 510828 79505 15.56 39902.24
Texas 1093277 74470 6.81 37704.56
Florida 1174185 62758 5.34 54669.87
Michigan 699849 58525 8.36 70077.00
Maryland 357376 57482 16.08 59112.62
Georgia 522857 51359 9.82 49245.19
Virginia 371131 49397 13.31 43480.78
Connecticut 295549 43818 14.83 82896.27
Louisiana 428069 42486 9.93 92081.73
Ohio 458526 38111 8.31 39226.80
Indiana 297530 36997 12.43 44194.94
North Carolina 497350 34718 6.98 47420.48
Colorado 208277 27834 13.36 36167.14
Minnesota 333484 27501 8.25 59132.23
Tennessee 491421 26177 5.33 71916.95
Arizona 271646 25451 9.37 35672.99
Washington 390863 23442 6.00 51328.76
Iowa 184714 21478 11.63 58545.14
Wisconsin 335373 20571 6.13 57600.14
Alabama 245644 20043 8.16 50098.86
Mississippi 193123 17039 8.82 64890.23
Nebraska 117547 15572 13.25 60766.39
Rhode Island 170739 15441 9.04 161171.69
Missouri 230065 14951 6.50 37485.57
South Carolina 231299 13453 5.82 44923.65
Utah 235149 11798 5.02 73347.50
Kentucky 249062 11287 4.53 55747.59
Kansas 113653 10361 9.12 39011.59
Delaware 67635 9845 14.56 69457.28
Nevada 171771 9491 5.53 55766.98
District of Columbia 53678 9269 17.27 76058.20
Arkansas 156757 9101 5.81 51943.70
New Mexico 224640 8800 3.92 107133.20
Oklahoma 221601 7059 3.19 56002.68
South Dakota 55458 5367 9.68 62688.56
New Hampshire 84009 5019 5.97 61784.45
Puerto Rico 4915 4915 100.00 1538.97
Oregon 146159 4570 3.13 34653.42
Idaho 55239 3139 5.68 30824.22
North Dakota 78880 2816 3.57 103508.64
Maine 58923 2524 4.28 43834.60
West Virginia 109723 2136 1.95 61395.62
Vermont 40083 1046 2.61 64236.71
Wyoming 28508 939 3.29 49257.12
Hawaii 53257 673 1.26 37614.28
Montana 46754 540 1.15 43745.29
Alaska 63901 535 0.84 87350.74

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 82968 2739 3.41 37390 45.07 42609 2969 120 4.21 3.58
Tamil Nadu 30172 1478 5.15 16395 54.34 13523 254 19 8.09 0.84
Delhi 27654 1320 5.01 10664 38.56 16229 761 53 7.49 2.75
Gujarat 19617 498 2.60 13324 67.92 5074 1219 29 2.44 6.21
Rajasthan 10337 253 2.51 7501 72.56 2605 231 13 5.96 2.23
Uttar Pradesh 10103 370 3.80 5908 58.48 3927 268 11 4.28 2.65
Madhya Pradesh 9228 232 2.58 6108 66.19 2721 399 15 3.91 4.32
State Unassigned 8610 418 5.10 0 0.00 8610 0 0 NaN 0.00
West Bengal 7738 435 5.96 3119 40.31 4236 383 17 4.64 4.95
Karnataka 5213 378 7.82 1973 37.85 3179 59 2 3.51 1.13
Bihar 4831 233 5.07 2298 47.57 2504 29 0 0.00 0.60
Andhra Pradesh 4460 210 4.94 2640 59.19 1747 73 0 0.00 1.64
Haryana 3952 355 9.87 1280 32.39 2648 24 0 0.00 0.61
Telangana 3496 206 6.26 1710 48.91 1663 123 10 8.85 3.52
Jammu and Kashmir 3467 143 4.30 1126 32.48 2302 39 3 8.33 1.12
Odisha 2781 173 6.63 1716 61.70 1055 10 0 0.00 0.36
Punjab 2515 54 2.19 2092 83.18 373 50 2 4.17 1.99
Assam 2474 230 10.25 627 25.34 1840 4 0 0.00 0.16
Kerala 1808 108 6.35 762 42.15 1030 16 1 6.67 0.88
Uttarakhand 1303 88 7.24 422 32.39 865 11 0 0.00 0.84
Jharkhand 1028 106 11.50 473 46.01 548 7 0 0.00 0.68
Chhattisgarh 923 60 6.95 259 28.06 660 4 2 100.00 0.43
Tripura 749 55 7.93 173 23.10 576 0 0 NaN 0.00
Himachal Pradesh 400 7 1.78 190 47.50 201 6 0 0.00 1.50
Chandigarh 312 3 0.97 273 87.50 34 5 0 0.00 1.60
Goa 267 71 36.22 65 24.34 202 0 0 NaN 0.00
Manipur 157 20 14.60 52 33.12 105 0 0 NaN 0.00
Nagaland 107 0 0.00 8 7.48 99 0 0 NaN 0.00
Puducherry 107 3 2.88 48 44.86 59 0 0 NaN 0.00
Ladakh 99 2 2.06 50 50.51 48 1 0 0.00 1.01
Arunachal Pradesh 48 2 4.35 1 2.08 47 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Meghalaya 33 0 0.00 13 39.39 19 1 0 0.00 3.03
Mizoram 24 0 0.00 1 4.17 23 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 19 5 35.71 1 5.26 18 0 0 NaN 0.00
Sikkim 7 4 133.33 0 0.00 7 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 813972 90070 142 0.16 11.07 2840 110 19499 16249 18.04
Piemonte 340176 30845 38 0.12 9.07 684 37 4167 3934 12.75
Emilia-Romagna 351146 27894 17 0.06 7.94 256 35 2416 4171 14.95
Veneto 734130 19182 8 0.04 2.61 82 2 1164 1949 10.16
Toscana 269298 10134 5 0.05 3.76 49 22 785 1068 10.54
Liguria 114887 9799 13 0.13 8.53 136 4 245 1492 15.23
Lazio 271662 7801 28 0.36 2.87 477 49 2697 758 9.72
Marche 112740 6742 2 0.03 5.98 46 3 1195 991 14.70
Campania 215404 4822 0 0.00 2.24 97 7 738 426 8.83
Puglia 129898 4511 4 0.09 3.47 109 4 758 522 11.57
P.A. Trento 94159 4434 1 0.02 4.71 6 1 104 464 10.46
Sicilia 163432 3450 2 0.06 2.11 47 7 866 276 8.00
Friuli Venezia Giulia 146338 3283 3 0.09 2.24 24 2 161 338 10.30
Abruzzo 82332 3258 1 0.03 3.96 96 3 653 418 12.83
P.A. Bolzano 70578 2600 1 0.04 3.68 7 2 100 292 11.23
Umbria 75336 1431 0 0.00 1.90 11 2 28 76 5.31
Sardegna 62145 1362 3 0.22 2.19 10 1 60 131 9.62
Valle d’Aosta 15730 1189 2 0.17 7.56 7 0 12 144 12.11
Calabria 75290 1159 0 0.00 1.54 18 0 91 97 8.37
Molise 16522 436 0 0.00 2.64 0 2 121 23 5.28
Basilicata 31882 399 0 0.00 1.25 0 0 17 27 6.77

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 52624 226 0.43 4970 35 0.71 9.44 6163.74 582.13 1 in 162
Ontario 31620 261 0.83 2483 37 1.51 7.85 2149.29 168.78 1 in 465
Alberta 7138 40 0.56 146 0 0.00 2.05 1617.44 33.08 1 in 618
British Columbia 2632 0 0.00 167 0 0.00 6.34 514.98 32.68 1 in 1942
Nova Scotia 1058 0 0.00 61 0 0.00 5.77 1082.40 62.41 1 in 924
Saskatchewan 650 1 0.15 11 0 0.00 1.69 550.07 9.31 1 in 1818
Manitoba 300 0 0.00 7 0 0.00 2.33 217.78 5.08 1 in 4592
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 136 0 0.00 1 0 0.00 0.74 174.36 1.28 1 in 5735
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1602 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1105 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Shanghai 677 7 1.03
Jiangsu 653 0 0.00
Beijing 594 9 1.52
Chongqing 579 6 1.04
Sichuan 578 3 0.52
Fujian 359 1 0.28
Hebei 328 6 1.83
Shaanxi 311 3 0.96
Guangxi 254 2 0.79
Inner Mongolia 235 1 0.43
Shanxi 198 0 0.00
Tianjin 193 3 1.55
Yunnan 185 2 1.08
Hainan 170 6 3.53
Jilin 155 2 1.29
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 5868.16 335.58 1 in 170
Brazil 3214.74 171.67 1 in 311
Russia 3170.26 39.56 1 in 315
United Kingdom 4309.06 610.30 1 in 232
India 184.18 5.19 1 in 5429
Spain 5171.67 581.55 1 in 193
Italy 3882.29 559.62 1 in 258
Peru 5960.77 164.78 1 in 168
France 2847.57 435.06 1 in 351
Germany 2240.00 104.76 1 in 446
Iran 2087.54 101.15 1 in 479
Turkey 2094.02 57.78 1 in 478
Chile 7077.29 85.37 1 in 141
Mexico 879.40 104.57 1 in 1137
Saudi Arabia 3001.49 20.52 1 in 333
Canada 2566.51 208.83 1 in 390
Pakistan 477.07 9.82 1 in 2096
China 60.74 3.35 1 in 16464
Qatar 25462.30 19.33 1 in 39
Bangladesh NA NA 1 in NA

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 206511 21815 10.56
Cook Illinois 81924 3913 4.78
Los Angeles California 62382 2624 4.21
Nassau New York 40853 2135 5.23
Suffolk New York 40278 1923 4.77
Westchester New York 33924 1392 4.10
Philadelphia Pennsylvania 23529 1414 6.01
Middlesex Massachusetts 22686 1701 7.50
Wayne Michigan 20663 2499 12.09
Miami-Dade Florida 19299 765 3.96
Suffolk Massachusetts 18955 923 4.87
Hudson New Jersey 18916 1210 6.40
Bergen New Jersey 18492 1612 8.72
Essex New Jersey 18066 1701 9.42
Passaic New Jersey 16436 969 5.90
Prince George’s Maryland 16316 595 3.65
Middlesex New Jersey 16203 1032 6.37
Union New Jersey 16116 1095 6.79
Fairfield Connecticut 16020 1309 8.17
Essex Massachusetts 15170 998 6.58
Harris Texas 14423 259 1.80
Rockland New York 13315 655 4.92
Maricopa Arizona 12761 489 3.83
Montgomery Maryland 12624 652 5.16
Fairfax Virginia 12056 413 3.43
Dallas Texas 11830 262 2.21
New Haven Connecticut 11817 1007 8.52
Worcester Massachusetts 11696 820 7.01
Providence Rhode Island 11052 0 0.00
Hartford Connecticut 10747 1279 11.90
Orange New York 10508 444 4.23
Marion Indiana 10276 616 5.99
District of Columbia District of Columbia 9269 483 5.21
Hennepin Minnesota 9255 667 7.21
Ocean New Jersey 8979 767 8.54
Riverside California 8777 355 4.04
Lake Illinois 8690 342 3.94
Norfolk Massachusetts 8689 859 9.89
Milwaukee Wisconsin 8688 325 3.74
Oakland Michigan 8457 1007 11.91
Monmouth New Jersey 8454 636 7.52
King Washington 8417 576 6.84
Plymouth Massachusetts 8347 588 7.04
San Diego California 8345 296 3.55
DuPage Illinois 8046 400 4.97
Jefferson Louisiana 7831 458 5.85
Broward Florida 7690 334 4.34
Bristol Massachusetts 7635 467 6.12
Montgomery Pennsylvania 7542 724 9.60
Clark Nevada 7331 358 4.88

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc